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Google AI Studio

Using Gemini 3.5 Flash on Google AI Studio

Implementation guide · Gemini 3.5 · Google DeepMind

Serverless

Quick Start

  1. 1
    Create an account at Google AI Studio and generate an API key.
  2. 2
    Use the Google AI Studio SDK or REST API to call gemini-3.5-flash — see the documentation for request format.
  3. 3
    You'll be billed $1.50/1M input, $9.00/1M output tokens.

Code Examples

Install
pip install google-genai
API key
GOOGLE_API_KEY
Model ID
gemini-3.5-flash

Use the model name directly, e.g. "gemini-2.0-flash", "gemini-1.5-pro", or "gemini-2.5-pro-preview-05-06".

import os
from google import genai

client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
response = client.models.generate_content(
    model="gemini-3.5-flash",
    contents="Hello"
)
print(response.text)

About Google AI Studio

Google AI Studio is a model prototyping environment and API access point for Gemini models, offering an inference playground for developers to test and build AI applications.

Pricing on Google AI Studio

TypePrice (per 1M)
Input tokens$1.50
Output tokens$9.00

Capabilities

VisionMultimodalReasoningFunction CallingTool UseStructured OutputsCode ExecutionPrompt CachingBatch APIAudio

About Gemini 3.5 Flash

Gemini 3.5 Flash is Google DeepMind's generally available Flash model for sustained frontier-level performance on agentic and coding tasks. It supports multimodal inputs, native thinking, tool and function calling, structured outputs, code execution, search grounding, batch processing, and long contexts up to 1M tokens.

Model Specs

Released2026-05-19
Context1M
ArchitectureDecoder Only
Knowledge cutoff2025-01